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import gradio as gr
from refacer import Refacer
import argparse
import ngrok
parser = argparse.ArgumentParser(description='Refacer')
parser.add_argument("--max_num_faces", type=int, help="Max number of faces on UI", default=5)
parser.add_argument("--force_cpu", help="Force CPU mode", default=False, action="store_true")
parser.add_argument("--share_gradio", help="Share Gradio", default=False, action="store_true")
parser.add_argument("--server_name", type=str, help="Server IP address", default="127.0.0.1")
parser.add_argument("--server_port", type=int, help="Server port", default=7860)
parser.add_argument("--colab_performance", help="Use in colab for better performance", default=False,action="store_true")
parser.add_argument("--ngrok", type=str, help="Use ngrok", default=None)
parser.add_argument("--ngrok_region", type=str, help="ngrok region", default="us")
args = parser.parse_args()
refacer = Refacer(force_cpu=args.force_cpu,colab_performance=args.colab_performance)
num_faces=args.max_num_faces
# Connect to ngrok for ingress
def connect(token, port, options):
account = None
if token is None:
token = 'None'
else:
if ':' in token:
# token = authtoken:username:password
token, username, password = token.split(':', 2)
account = f"{username}:{password}"
# For all options see: https://github.com/ngrok/ngrok-py/blob/main/examples/ngrok-connect-full.py
if not options.get('authtoken_from_env'):
options['authtoken'] = token
if account:
options['basic_auth'] = account
try:
public_url = ngrok.connect(f"127.0.0.1:{port}", **options).url()
except Exception as e:
print(f'Invalid ngrok authtoken? ngrok connection aborted due to: {e}\n'
f'Your token: {token}, get the right one on https://dashboard.ngrok.com/get-started/your-authtoken')
else:
print(f'ngrok connected to localhost:{port}! URL: {public_url}\n'
'You can use this link after the launch is complete.')
def run(*vars):
video_path=vars[0]
origins=vars[1:(num_faces+1)]
destinations=vars[(num_faces+1):(num_faces*2)+1]
thresholds=vars[(num_faces*2)+1:]
faces = []
for k in range(0,num_faces):
if origins[k] is not None and destinations[k] is not None:
faces.append({
'origin':origins[k],
'destination':destinations[k],
'threshold':thresholds[k]
})
return refacer.reface(video_path,faces)
origin = []
destination = []
thresholds = []
with gr.Blocks() as demo:
with gr.Row():
gr.Markdown("# Refacer")
with gr.Row():
video=gr.Video(label="Original video",format="mp4")
video2=gr.Video(label="Refaced video",interactive=False,format="mp4")
for i in range(0,num_faces):
with gr.Tab(f"Face #{i+1}"):
with gr.Row():
origin.append(gr.Image(label="Face to replace"))
destination.append(gr.Image(label="Destination face"))
with gr.Row():
thresholds.append(gr.Slider(label="Threshold",minimum=0.0,maximum=1.0,value=0.2))
with gr.Row():
button=gr.Button("Reface", variant="primary")
button.click(fn=run,inputs=[video]+origin+destination+thresholds,outputs=[video2])
if args.ngrok is not None:
connect(args.ngrok, args.server_port, {'region': args.ngrok_region, 'authtoken_from_env': False})
#demo.launch(share=True,server_name="0.0.0.0", show_error=True)
demo.queue().launch(show_error=True,share=args.share_gradio,server_name=args.server_name,server_port=args.server_port)
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